Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use biennh/me_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use biennh/me_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/dreamshaper-xl-1-0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("biennh/me_lora") prompt = "a photo of ME person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1ad4969bc1325bc294e5f94f0f12cfbac350aa641f93c316f1d62c160f36d738
- Size of remote file:
- 83.6 kB
- SHA256:
- a3f3962124651f56cfb7b4fc44f1adafa5c4d7a47a5ade39c24dd03cc14bf8d6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.